Forest gene diversity is correlated with the composition and function of soil microbial communities

Schweitzer, Jennifer A.; Fischer, Dylan G.; Rehill, Brian J.; Wooley, Stuart C.; Woolbright, Scott A.; Lindroth, Richard L.; Whitham, Thomas G.; Zak, Donald R.; Hart, Stephen C.

doi:10.1007/s10144-010-0252-3

Cited by 61 publications

(56 citation statements)

References 97 publications

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“…; Schweitzer et al . ). This naturally occurring variation in the density of host species, but not overall host tree density, allowed us to evaluate how the density of the most susceptible Populus host species affects pathogen community structure.…”

Section: Methodsmentioning

confidence: 97%

“…both parental species and their hybrids) did not differ among sites (Schweitzer et al . ), a second covariate included in hybrid zone analyses was the density of the susceptible host, P. angustifolia , which did differ among sites. A greater density of susceptible host species should increase the probability of successful infection by airborne inoculum (Burdon & Chilvers ).…”

Section: Methodsmentioning

confidence: 99%

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Genetic basis of pathogen community structure for foundation tree species in a common garden and in the wild

et al. 2013

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Summary1. Genetic variation within and among foundation plant species is known to affect arthropod, plant and soil microbial communities. We hypothesized that the same would be expected for pathogen communities, which have typically been studied only as individual pathogen species.2. In a common garden in Utah, USA, we first tested how genetic differences within and among Populus angustifolia, P. fremontii and their interspecific hybrid P. 9 hinckleyana affect a fungal leaf pathogen community. Next, we tested how Populus genetic differences at the level of species and hybrids affect fungal leaf pathogen communities in the wild, specifically in a natural Populus hybridization zone (13 river km) and throughout the larger Weber River watershed (150 river km).3. In the common garden, genetic variation both within and among Populus species and hybrids significantly affected the structure (i.e. species abundances and composition) of pathogen communities. In the wild, genetic variation among Populus species and hybrids also significantly affected pathogen communities, though not as strongly as was found in the common garden environment. Stand-level density of the susceptible Populus species most strongly affected the structure of pathogen communities in the hybrid zone.4. Synthesis. Plant species and genotypic variation can affect the local and geographic distribution of pathogen communities in a similar fashion as other diverse organisms (e.g. arthropods, plants, soil microbes), both within a relatively controlled common garden environment and in the wild.

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Section: Methodsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

Genetic basis of pathogen community structure for foundation tree species in a common garden and in the wild

et al. 2013

Self Cite

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“…Schweitzer et al [53] reported that plant gene diversity may alter soil microbial communities and their activities, which may have extended consequences for soil fertility. Patterns of soil microbial community are also dependent on soil moisture [54].…”

Section: Influence Of Land-use Change On the Soil Microbial Communitymentioning

confidence: 99%

Assessment of the Influence of Oil Palm and Rubber Plantations in Tropical Peat Swamp Soils Using Microbial Diversity and Activity Analysis

Nurulita

Adetutu

Kadali

et al. 2016

JACEN

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In this study, tropical peat swamp soils from Giam Siak Kecil-Bukit Batu Biosphere Reserve (GSKBB) in Indonesia was evaluated to assess the impact of oil palm and rubber plantations on this unique organic soil through comparisons with soils from a natural forest using a polyphasic approach (chemical and molecular microbial assays). Changes in the ammonium, nitrate and phosphate concentration were observed in soils converted to agricultural use. Soil enzyme activities in plantation soils showed reduced β-glucosidase, cellobiohydrolase and acid phosphatase activities (50% -55% decrease). PCR-DGGE based analysis showed that the soil bacterial community from agricultural soils exhibited the lowest similarity amongst the different microbial groups (fungi and Archaea) evaluated (34% similarity to the natural forest soil). Shannon Diversity index values showed that generally the conversion of tropical peatland natural forest to rubber plantation resulted in a greater impact on microbial diversity (ANOVA p < 0.05). Overall, this study indicated substantial shifts in the soil microbial activity and diversity upon conversion of natural peatland forest to agriculture, with a greater change being observed under rubber plantation compared to oil palm plantation. These findings provided important data for future peatland management by relating changes in the soil microbial community and activities associated to agricultural practices carried out on peatland. Y. Nurulita et al.54

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“…It has been recognised that these interactions can affect plant productivity in agricultural systems and has lead to the concept of suppressive ecosystems that act to protect plants against pathogens including nematodes, bacteria and fungi. [17][18][19][20] Metagenomics is one approach that has been used to explore this aspect of soil communities. This work suggests that the analogous metametabolomic approaches may also provide valuable insight into this complex system.…”

Section: Discussionmentioning

confidence: 99%

NMR metabolomics for soil analysis provide complementary, orthogonal data to MIR and traditional soil chemistry approaches – a land use study

Rochfort

Ezernieks²,

Mele

et al. 2015

Magnetic Reson in Chemistry

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The present study was designed to analyse soils by different methodologies to determine the range of traits that could be investigated for the study of environmental soil samples. Proton nuclear magnetic resonance spectroscopy ((1) H NMR) was employed for metametabolomic analysis of soils from agricultural systems (managed) or from soils in a native state (remnant). The metabolomic methodologies employed (grinding and extraction with sonication) are capable of breaking up cell walls and so enabled characterisation of both extracellular and intracellular components of soil. Diffuse mid-infrared spectroscopy (MIR) data was obtained for the same sample sets, and in addition, elemental composition was determined by conventional laboratory chemical testing methods. Also investigated was the antibiotic activity of the soil extracts. Resilient or suppressive soils are valued in the agricultural setting as they convey disease resistance (against bacterial and fungal pathogens) to crop plants. In order to test if any such biological activity could be detected in the soils, the extracts were tested against the bacteria Bacillus subtilis. Several extracts showed strong growth inhibition against the bacteria with the most active clustered together in principle component analysis (PCA) of the metabolomic data. The study showed that the NMR metabolomic approach corresponds more accurately to land use and biochemical properties potentially associated with suppression, while MIR data correlated well to inorganic chemical analysis. Thus, the study demonstrates the utility in combining these spectroscopic methods for soil analysis.

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Forest gene diversity is correlated with the composition and function of soil microbial communities

Abstract: The growing field of community and ecosystem genetics indicates that plant genotype and genotypic variation are important for structuring communities and ecosystem processes.

Cited by 61 publications

References 97 publications

Genetic basis of pathogen community structure for foundation tree species in a common garden and in the wild

Genetic basis of pathogen community structure for foundation tree species in a common garden and in the wild

Assessment of the Influence of Oil Palm and Rubber Plantations in Tropical Peat Swamp Soils Using Microbial Diversity and Activity Analysis

NMR metabolomics for soil analysis provide complementary, orthogonal data to MIR and traditional soil chemistry approaches – a land use study

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